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MushroomRL: Simplifying Reinforcement Learning Research

MushroomRL: Simplifying Reinforcement Learning Research

4 January 2020
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
    OffRL
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Papers citing "MushroomRL: Simplifying Reinforcement Learning Research"

21 / 21 papers shown
Title
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learning
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learning
Shreyas S R
OffRL
OnRL
36
0
0
10 Sep 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
59
125
0
17 Jan 2024
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Wenzhang Liu
Wenzhe Cai
Kun Jiang
Guangran Cheng
Yuanda Wang
Changyin Sun
Jingyu Cao
Lele Xu
Chaoxu Mu
Changyin Sun
39
4
0
25 Dec 2023
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement
  Learning
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning
Sergio A. Serrano
J. Martínez-Carranza
L. Sucar
35
2
0
05 Dec 2023
EduGym: An Environment and Notebook Suite for Reinforcement Learning
  Education
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
Thomas M. Moerland
Matthias Muller-Brockhausen
Zhao Yang
Andrius Bernatavicius
Koen Ponse
Tom Kouwenhoven
Andreas Sauter
Michiel van der Meer
Bram M. Renting
Aske Plaat
OffRL
35
0
0
17 Nov 2023
Robust Adversarial Reinforcement Learning via Bounded Rationality
  Curricula
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
Aryaman Reddi
Maximilian Tölle
Jan Peters
Georgia Chalvatzaki
Carlo DÉramo
45
4
0
03 Nov 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
Hanna Ziesche
Leonel Rozo
26
5
0
17 May 2023
Boosting Object Representation Learning via Motion and Object Continuity
Boosting Object Representation Learning via Motion and Object Continuity
Quentin Delfosse
Wolfgang Stammer
Thomas Rothenbacher
Dwarak Vittal
Kristian Kersting
OCL
54
20
0
16 Nov 2022
ARLO: A Framework for Automated Reinforcement Learning
ARLO: A Framework for Automated Reinforcement Learning
Marco Mussi
Davide Lombarda
Alberto Maria Metelli
F. Trovò
Marcello Restelli
OffRL
41
4
0
20 May 2022
A2C is a special case of PPO
A2C is a special case of PPO
Shengyi Huang
Anssi Kanervisto
Antonin Raffin
Weixun Wang
Santiago Ontañón
Rousslan Fernand Julien Dossa
OffRL
36
25
0
18 May 2022
Dimensionality Reduction and Prioritized Exploration for Policy Search
Dimensionality Reduction and Prioritized Exploration for Policy Search
Marius Memmel
Puze Liu
Davide Tateo
Jan Peters
23
3
0
09 Mar 2022
Graph-based Reinforcement Learning meets Mixed Integer Programs: An
  application to 3D robot assembly discovery
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery
Niklas Funk
Svenja Menzenbach
Georgia Chalvatzaki
Jan Peters
39
13
0
08 Mar 2022
Robot Learning of Mobile Manipulation with Reachability Behavior Priors
Robot Learning of Mobile Manipulation with Reachability Behavior Priors
Snehal Jauhri
Jan Peters
Georgia Chalvatzaki
18
45
0
08 Mar 2022
CleanRL: High-quality Single-file Implementations of Deep Reinforcement
  Learning Algorithms
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
Shengyi Huang
Rousslan Fernand Julien Dossa
Chang Ye
Jeff Braga
OffRL
16
0
0
16 Nov 2021
d3rlpy: An Offline Deep Reinforcement Learning Library
d3rlpy: An Offline Deep Reinforcement Learning Library
Takuma Seno
M. Imai
OffRL
GP
65
100
0
06 Nov 2021
Continuous-Time Fitted Value Iteration for Robust Policies
Continuous-Time Fitted Value Iteration for Robust Policies
M. Lutter
Boris Belousov
Shie Mannor
Dieter Fox
Animesh Garg
Jan Peters
10
9
0
05 Oct 2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
Jiayi Weng
Huayu Chen
Dong Yan
Kaichao You
Alexis Duburcq
Minghao Zhang
Yi Su
Hang Su
Jun Zhu
NoLa
OffRL
41
195
0
29 Jul 2021
Composable Energy Policies for Reactive Motion Generation and
  Reinforcement Learning
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
Julen Urain
Anqi Li
Puze Liu
Carlo DÉramo
Jan Peters
33
26
0
11 May 2021
Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models
Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models
Andreas Schuderer
Stefano Bromuri
M. V. Eekelen
AI4CE
13
2
0
19 Feb 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based Applications
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Min Zhang
OffRL
60
73
0
01 Jan 2021
Robust Reinforcement Learning using Least Squares Policy Iteration with
  Provable Performance Guarantees
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
Kishan Panaganti
D. Kalathil
16
4
0
20 Jun 2020
1